Literature DB >> 29486462

Spatial distribution and sources of heavy metals in natural pasture soil around copper-molybdenum mine in Northeast China.

Zhiqiang Wang1, Chen Hong2, Yi Xing3, Kang Wang4, Yifei Li1, Lihui Feng1, Silu Ma1.   

Abstract

The characterization of the content and source of heavy metals are essential to assess the potential threat of metals to human health. The present study collected 140 topsoil samples around a Cu-Mo mine (Wunugetushan, China) and investigated the concentrations and spatial distribution pattern of Cr, Ni, Zn, Cu, Mo and Cd in soil using multivariate and geostatistical analytical methods. Results indicated that the average concentrations of six heavy metals, especially Cu and Mo, were obviously higher than the local background values. Correlation analysis and principal component analysis divided these metals into three groups, including Cr and Ni, Cu and Mo, Zn and Cd. Meanwhile, the spatial distribution maps of heavy metals indicated that Cr and Ni in soil were no notable anthropogenic inputs and mainly controlled by natural factors because their spatial maps exhibited non-point source contamination. The concentrations of Cu and Mo gradually decreased with distance away from the mine area, suggesting that human mining activities may be crucial in the spreading of contaminants. Soil contamination of Zn were associated with livestock manure produced from grazing. In addition, the environmental risk of heavy metal pollution was assessed by geo-accumulation index. All the results revealed that the spatial distribution of heavy metals in soil were in agreement with the local human activities. Investigating and identifying the origin of heavy metals in pasture soil will lay the foundation for taking effective measures to preserve soil from the long-term accumulation of heavy metals.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Geostatistics; Heavy metal source; Multivariate statistics; Natural pasture soil; Pollution level

Mesh:

Substances:

Year:  2018        PMID: 29486462     DOI: 10.1016/j.ecoenv.2018.02.048

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  6 in total

1.  Source and background threshold values of potentially toxic elements in soils by multivariate statistics and GIS-based mapping: a high density sampling survey in the Parauapebas basin, Brazilian Amazon.

Authors:  Prafulla Kumar Sahoo; Roberto Dall'Agnol; Gabriel Negreiros Salomão; Jair da Silva Ferreira Junior; Marcio Souza da Silva; Gabriel Caixeta Martins; Pedro Walfir Martin E Souza Filho; Mike A Powell; Clovis Wagner Maurity; Rômulo Simões Angelica; Marlene Furtado da Costa; José Oswaldo Siqueira
Journal:  Environ Geochem Health       Date:  2019-08-10       Impact factor: 4.609

2.  Soil heavy metal contamination and health risk assessment associated with development zones in Shandong, China.

Authors:  Huimin Zhuo; Sanze Fu; Heng Liu; Hui Song; Lijun Ren
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-14       Impact factor: 4.223

3.  Immutable heavy metal pollution before and after change in industrial waste treatment procedure.

Authors:  Hirokazu Ozaki; Hiroshi Ichise; Emi Kitaura; Yuki Yaginuma; Masaaki Yoda; Katsuji Kuno; Izumi Watanabe
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

4.  Assessment of the pollution levels of potential toxic elements in urban vegetable gardens in southwest China.

Authors:  Jianing Gao; Dan Zhang; Ram Proshad; Ernest Uwiringiyimana; Zifa Wang
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

5.  Curvularia coatesiae XK8, a Potential Bioadsorbent Material for Adsorbing Cd(II) and Sb(III) Compound Pollution: Characteristics and Effects.

Authors:  Zhao Di; Li Chaoyang; Zheng Mengxi; Zhao Yunlin; Xu Zhenggang; Yang Guiyan
Journal:  Front Microbiol       Date:  2022-01-27       Impact factor: 5.640

6.  Effects of mining on the molybdenum absorption and translocation of plants in the Luanchuan molybdenum mine.

Authors:  Kejing Yin; Zhaoyong Shi; Mengge Zhang; Yajuan Li
Journal:  PeerJ       Date:  2020-05-26       Impact factor: 2.984

  6 in total

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